Dynamic evaluation method of cell coverage in communication network

Abstract

The invention discloses a dynamic evaluation method of cell coverage in a communication network, which comprises the steps of: analyzing a plurality of measurement reports with different formats in a communication network to obtain measurement report data; computing a key coverage correlated vector between a target cell and any one measurement cell according to the measurement report data to obtain an orientation vector between the two cells; modifying the vector geographical position of the orientation vector by using a position characteristic point; ensuring a cell azimuth angle of the target cell; obtaining a target cell coverage distribution map according to the modified orientation vector and the evaluated cell azimuth angle; computing the maximum coverage distance and the coverage area of the target cell according to the target cell coverage distribution map; and performing over coverage judgment to the coverage of the target cell according to the maximum coverage distance and the coverage area of the target cell, and evaluating the coverage quality of the target cell. The method has the important significances that the service quality of a mobile communication network is improved, and the perception level of a mobile subscriber is improved.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a method for dynamically evaluating cell coverage in a communication network of a wireless communication system. Background technique [0002] Coverage is the basic element of the network structure of wireless communication (such as GSM). Among the daily optimization tasks, a large amount of optimization work starts from the understanding of network coverage. For example, the neighborhood planning of the community is based on the coverage setting; the route design of the daily problem test is based on the coverage cognition. However, if there are coverage errors in the network but cannot be discovered in time, these errors will be passed on to the subsequent optimization links, resulting in improper optimization schemes, ineffective effects, deviations in analysis ideas, waste of resources / manpower, and many other problems. [0003] At the same time, in actual ne...

AI Technical Summary

Problems solved by technology

Many problems were put on hold during this period, causing a negative impact on user perception; secondly, human recording errors may introduce new errors

On the other hand, due to the mature development and large scale of the GSM network, the number of new base stations is very large

Once there is a problem with the new station project, it will often accumulate for a long time;

[0011] 2. The test method is very time-consuming

However, these two conditions are difficult to achieve in practice.

In the absence of antenna parameter error correction means, the accuracy of the simulation results is low and the reliability is not high

[0013] 4. For the coverage deviation caused by severe weather and the coverage deterioration caused by antenna aging / performance degradation, there is currently no high-efficiency and high-accuracy technical means other than manual on-site surveys

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